CN115842819B - Automatic driving system test data downloading method, device and equipment - Google Patents
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Abstract
The embodiment of the invention discloses a method, a device and equipment for downloading test data of an automatic driving system. One embodiment of the method comprises the following steps: collecting full automatic driving data of the automatic driving vehicle in a preset time period, and uploading the full automatic driving data to an associated cloud storage space; in response to receiving the data download configuration information, downloading corresponding autopilot sub-data from the cloud storage space according to the data download configuration information; responding to receiving prompt information representing insufficient data of the automatic driving sub data and receiving target data downloading configuration information, and downloading corresponding target automatic driving sub data from a cloud storage space according to the target data downloading configuration information; and storing the automatic driving sub-data and the target automatic driving sub-data into a target database. This embodiment reduces the pressure of the transmission of system information.
Description
Technical Field
The embodiment of the disclosure relates to the technical field of computers, in particular to a method, a device and equipment for downloading test data of an automatic driving system.
Background
In various development works of the automatic driving system, solving the problems found by the system test is important because it directly affects the automatic driving function realization and the quality improvement. The test data that manages these problems is a prerequisite for efficient and qualified solution of the problems for automatic driving of the individual modules. Different modules such as automatic driving sensing, planning and control can analyze and solve the problems of the modules according to different output data, and therefore different data are required to be provided in a matching mode according to the requirements of the different modules for solving the problems. Currently, in the test of the automatic driving system, the manner of saving the test data is generally: and directly storing the full data and uploading the full data to cloud storage.
Firstly, when a plurality of users download and use the full data, the transmission pressure of the system information is higher;
secondly, since the automatic driving data has sensitivity, the data is directly stored, and the data is easy to leak;
thirdly, the automatic driving data amount is more, and the storage space of cloud storage is easy to be insufficient.
The above information disclosed in this background section is only for enhancement of understanding of the background of the inventive concept and, therefore, may contain information that does not form the prior art that is already known to those of ordinary skill in the art in this country.
Disclosure of Invention
The disclosure is in part intended to introduce concepts in a simplified form that are further described below in the detailed description. The disclosure is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.
Some embodiments of the present disclosure propose an autopilot system test data download method, apparatus, electronic device, and computer readable medium to address one or more of the technical problems mentioned in the background section above.
In a first aspect, some embodiments of the present disclosure provide an autopilot system test data download method comprising: collecting full automatic driving data of an automatic driving vehicle in a preset time period, and uploading the full automatic driving data to an associated cloud storage space; in response to receiving the data download configuration information, downloading corresponding autopilot data from the cloud storage space according to the data download configuration information, wherein the data download configuration information comprises at least one data download configuration item; responding to receiving prompt information representing insufficient data of the automatic driving sub-data and receiving target data downloading configuration information, and downloading corresponding target automatic driving sub-data from the cloud storage space according to the target data downloading configuration information, wherein the target data downloading configuration information comprises at least one target data downloading configuration item; and storing the automatic driving sub-data and the target automatic driving sub-data into a target database.
In a second aspect, some embodiments of the present disclosure provide an autopilot system test data download apparatus, the apparatus comprising: the system comprises an acquisition unit, a cloud storage unit and a control unit, wherein the acquisition unit is configured to acquire full-quantity automatic driving data of an automatic driving vehicle in a preset time period and upload the full-quantity automatic driving data to an associated cloud storage space; a first downloading unit configured to download corresponding autopilot data from the cloud storage space according to data download configuration information in response to receiving the data download configuration information, wherein the data download configuration information includes at least one data download configuration item; a second downloading unit configured to download corresponding target autopilot data from the cloud storage space according to the target data download configuration information in response to receiving a prompt message indicating insufficient data of the autopilot data and receiving target data download configuration information, wherein the target data download configuration information includes at least one target data download configuration item; and a storage unit configured to store the automatic driving sub-data and the target automatic driving sub-data in a target database.
In a third aspect, some embodiments of the present disclosure provide an electronic device comprising: one or more processors; a storage device having one or more programs stored thereon, which when executed by one or more processors causes the one or more processors to implement the method described in any of the implementations of the first aspect above.
In a fourth aspect, some embodiments of the present disclosure provide a computer readable medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the method described in any of the implementations of the first aspect above.
The above embodiments of the present disclosure have the following advantageous effects: by the automatic driving system test data downloading method, the pressure of system information transmission is reduced. Specifically, the reason why the system information transmission pressure is large is that: when a plurality of users download and use the full data, the transmission pressure of the system information is high. Based on this, the method for downloading test data of the autopilot system according to some embodiments of the present disclosure first collects full-automatic driving data of an autopilot vehicle within a preset period of time and uploads the full-automatic driving data to an associated cloud storage space. Thus, the automatic driving data is convenient to download subsequently. And then, in response to receiving the data downloading configuration information, downloading corresponding automatic driving sub-data from the cloud storage space according to the data downloading configuration information. Wherein the data download configuration information includes at least one data download configuration item. Thus, the automatic driving data can be downloaded according to the requirements of technicians without full downloading. And then, in response to receiving prompt information representing insufficient data of the automatic driving sub data and receiving target data downloading configuration information, downloading corresponding target automatic driving sub data from the cloud storage space according to the target data downloading configuration information. The target data downloading configuration information comprises at least one target data downloading configuration item. Therefore, when the downloaded data is insufficient, the configuration can be modified again to acquire the desired data again, and the additionally consumed resources after modification are reduced as much as possible. And finally, storing the automatic driving sub-data and the target automatic driving sub-data into a target database. Therefore, full downloading is not needed, and the pressure of system information transmission is reduced.
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The above and other features, advantages, and aspects of embodiments of the present disclosure will become more apparent by reference to the following detailed description when taken in conjunction with the accompanying drawings. The same or similar reference numbers will be used throughout the drawings to refer to the same or like elements. It should be understood that the figures are schematic and that elements and components are not necessarily drawn to scale.
FIG. 1 is a flow chart of some embodiments of an autopilot system test data download method according to the present disclosure;
FIG. 2 is a schematic structural view of some embodiments of an autopilot system test data download apparatus according to the present disclosure;
fig. 3 is a schematic structural diagram of an electronic device suitable for use in implementing some embodiments of the present disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete. It should be understood that the drawings and embodiments of the present disclosure are for illustration purposes only and are not intended to limit the scope of the present disclosure.
It should be noted that, for convenience of description, only the portions related to the present invention are shown in the drawings. Embodiments of the present disclosure and features of embodiments may be combined with each other without conflict.
It should be noted that the terms "first," "second," and the like in this disclosure are merely used to distinguish between different devices, modules, or units and are not used to define an order or interdependence of functions performed by the devices, modules, or units.
It should be noted that references to "one", "a plurality" and "a plurality" in this disclosure are intended to be illustrative rather than limiting, and those of ordinary skill in the art will appreciate that "one or more" is intended to be understood as "one or more" unless the context clearly indicates otherwise.
The names of messages or information interacted between the various devices in the embodiments of the present disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information.
The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Fig. 1 is a flow chart of some embodiments of an autopilot system test data download method according to the present disclosure. A flow 100 of some embodiments of an autopilot system test data download method in accordance with the present disclosure is shown. The test data downloading method of the automatic driving system comprises the following steps:
In some embodiments, an execution subject (e.g., an on-board terminal) of the test data downloading method of the autopilot system may collect full-automatic driving data of the autopilot vehicle within a preset time period through a wired connection or a wireless connection, and upload the full-automatic driving data to an associated cloud storage space. Full-automatic driving data may refer to various driving data generated by an automatic driving vehicle over a preset period of time. The cloud storage space may refer to set cloud storage. Here, the setting of the preset time period is not limited.
In some embodiments, the executing entity may download the corresponding autopilot sub-data from the cloud storage space according to the data download configuration information in response to receiving the data download configuration information. Wherein the data download configuration information includes at least one data download configuration item. The data download configuration item may be a parameter item to which the download data is assigned. The at least one data download configuration item includes: date range, time range, data category, data subcategory. The data category may represent a category of the downloaded autopilot data. For example, the data categories may include: travel category, voice category. The data subcategory may refer to a category of specific autopilot data. For example, the data subcategories may include: lane changing data, straight line data, chinese speech, english speech. The data download configuration information may refer to data download configuration information sent by a technician.
In practice, the execution subject may download the autopilot sub-data corresponding to the date range, the time range, the data category, and the data sub-category from the cloud storage space. That is, the automatic driving sub-data is data that is within the date range and the time range, and is characterized by the data type and the data sub-type.
Alternatively, the autopilot sub-data may be stored in a target database.
In some embodiments, the executing entity may download the corresponding target autopilot data from the cloud storage space in response to receiving the prompt information indicating the insufficient data of the autopilot data and receiving the target data download configuration information according to the target data download configuration information. The target data downloading configuration information comprises at least one target data downloading configuration item. The at least one target data download configuration item includes: target date range, target time range, target data category, target data subcategory. Wherein the target date range is the same as the date range, the target time range is the same as the time range, the target data category is the same as the data category, and the target data sub-category is different from the data sub-category. The target data download configuration information may refer to configuration information of supplemental download data sent by a technician. The prompt message may be that the data of the autopilot sub-data is incomplete.
In practice, the execution subject may download, from the cloud storage space, autopilot sub-data corresponding to the target date range, the target time range, the target data category, and the target data sub-category as target autopilot sub-data.
In some embodiments, the executing entity may store the autopilot sub-data and the target autopilot sub-data in a target database. The target database may refer to a database of a terminal that transmits data download configuration information.
In practice, the executing entity may store the autopilot sub-data and the target autopilot sub-data into a target database by:
and the first step is to combine the automatic driving sub-data and the target automatic driving sub-data into automatic driving sub-data information. Combining may be referred to as stitching.
And secondly, splicing the automatic driving sub-data information, the preset character string and the current time stamp into standby automatic driving sub-data information. Here, the preset character string may be a preset character string.
And thirdly, performing first encryption processing on the standby optional driving sub-data information to generate first encrypted standby optional driving sub-data information. The first encryption process may refer to encryption by a symmetric encryption algorithm.
And fourthly, splicing the spare power selected driving sub-data information, the preset character string and the first encrypted spare power selected driving sub-data information into second spare power selected driving sub-data information.
And fifthly, performing second encryption processing on the second alternate automatic driving sub-data information to generate second encrypted automatic driving sub-data information. The second encryption process may refer to encryption by a symmetric encryption algorithm.
And sixthly, splicing the second encrypted automatic driving sub-data information, the preset character string and the target key into third alternate automatic driving sub-data information.
And seventhly, carrying out encryption processing on the third standby option automatic driving sub-data information through a preset public key so as to generate target automatic driving sub-data information. The preset public key may be a preset public key.
And eighth step, storing the target automatic driving sub-data information into a target database.
The related matters in the first step to the eighth step are taken as an invention point of the present disclosure, which solves the second technical problem mentioned in the background art, and data leakage is easy to be caused. ". Factors that easily cause data leakage are often as follows: since autopilot data has sensitivity, the data is saved directly. If the above factors are solved, the effect of improving the confidentiality of the data can be achieved. To achieve this effect, first, the above-described autopilot sub-data and the above-described target autopilot sub-data are combined into autopilot sub-data information. And secondly, splicing the automatic driving sub-data information, the preset character string and the current time stamp into standby automatic driving sub-data information. Thus, the autopilot child data information can be tagged with the uniqueness of the current timestamp. And then, performing first encryption processing on the standby optional driving sub-data information to generate first encrypted standby optional driving sub-data information. Thus, the automatic driving sub data information can be preliminarily encrypted. And then, splicing the standby optional driving sub-data information, the preset character string and the first encrypted standby optional driving sub-data information into second standby optional driving sub-data information. And then, performing second encryption processing on the second standby automatic driving sub-data information to generate second encrypted automatic driving sub-data information. Thus, the automatic driving sub data information can be further encrypted. Then, the second encrypted automatic driving sub-data information, the preset character string and the target key are spliced into third alternate automatic driving sub-data information; and carrying out encryption processing on the third standby option automatic driving sub-data information through a preset public key so as to generate target automatic driving sub-data information. Therefore, the confidentiality of data can be improved through multiple encryption. And finally, storing the target automatic driving sub-data information into a target database. Thus, the confidentiality of the data is improved.
Optionally, for each full-automatic driving data in the cloud storage space, the following processing steps are performed:
the first step, according to the time dimension, the full-automatic driving data are divided to generate an automatic driving data set. That is, the full-automatic driving data may be subjected to the division processing in accordance with the acquisition time to generate the automatic driving data set. The different acquisition times are used for the division.
And secondly, determining the downloading frequency of each automatic driving data in the automatic driving data set in a preset historical time period to obtain a downloading frequency subset. Here, the setting of the preset history period is not limited. The download frequency may represent the number of downloads of the autopilot data within a preset historical period.
And thirdly, classifying and storing the automatic driving data set according to the data labels corresponding to the full automatic driving data and the downloading frequency set. The data tag may represent a storage tag corresponding to the full-automatic driving data, and may include a first tag and a second tag. Wherein the first tag may represent a focused store. The second label may represent non-emphasized storage.
In practice, the third step may comprise the sub-steps of:
a first sub-step of, in response to the data tag being a first tag, performing the following processing steps for each of the autopilot data in the autopilot data set:
1. and determining whether the downloading frequency corresponding to the automatic driving data is greater than or equal to a first preset frequency.
2. And in response to determining that the downloading frequency corresponding to the automatic driving data is greater than or equal to the first preset frequency, storing the automatic driving data into a first storage node of the cloud storage space. Here, the first storage node may be a node set in the cloud storage space and used for storing the automatic driving data with the downloading frequency corresponding to the first label being greater than or equal to the first preset frequency.
3. And deleting the automatic driving data in response to the fact that the downloading frequency corresponding to the automatic driving data is smaller than the first preset frequency.
A second sub-step of, in response to the data tag being a second tag, performing the following processing steps for each of the automated driving data in the automated driving data set:
1. and determining whether the downloading frequency corresponding to the automatic driving data is greater than or equal to a second preset frequency. Wherein, the second preset frequency is greater than the first preset frequency.
2. And in response to determining that the downloading frequency corresponding to the automatic driving data is greater than or equal to the second preset frequency, storing the automatic driving data into a second storage node of the cloud storage space. The second storage node may be a node set in the cloud storage space and used for storing the automatic driving data with the downloading frequency corresponding to the second label being greater than or equal to the second preset frequency.
3. And deleting the automatic driving data in response to the fact that the downloading frequency corresponding to the automatic driving data is smaller than the second preset frequency.
The above related matters are taken as an invention point of the present disclosure, and solve the third technical problem mentioned in the background art, which is easy to cause insufficient storage space of cloud storage. ". Factors that easily cause storage space shortage of cloud storage are often as follows: the amount of automated driving data is large. If the above factors are solved, the effect of relieving the storage pressure of cloud storage can be achieved. To achieve this, first, the above-described full-automatic driving data is subjected to a division process in terms of the time dimension to generate an automatic driving data set. Thus, the automatic driving data can be conveniently classified and stored. And secondly, determining the downloading frequency of each automatic driving data in the automatic driving data set in a preset historical time period to obtain a downloading frequency subset. Therefore, whether the automatic driving data needs to be reserved or not is judged according to the downloading frequency. And then, according to the data labels corresponding to the full-automatic driving data and the downloading frequency sets, classifying and storing the automatic driving data sets. For example, the automatic driving data is deleted in response to determining that the downloading frequency corresponding to the automatic driving data is less than the first preset frequency. Thereby, the storage space of the cloud storage can be released. Finally, in response to determining that the downloading frequency corresponding to the automatic driving data is greater than or equal to the second preset frequency, storing the automatic driving data into a second storage node of the cloud storage space; and deleting the automatic driving data in response to the fact that the downloading frequency corresponding to the automatic driving data is smaller than the second preset frequency. Thus, different automatic driving data can be classified and stored. And can free up the storage space of cloud storage. Thus, the storage pressure of cloud storage is relieved.
With further reference to fig. 2, as an implementation of the method shown in the above figures, the present disclosure provides some embodiments of an automatic driving system test data downloading apparatus, which correspond to those method embodiments shown in fig. 1, and which are particularly applicable to various electronic devices.
As shown in fig. 2, the automatic driving system test data downloading apparatus 200 of some embodiments includes: an acquisition unit 201, a first download unit 202, a second download unit 203 and a storage unit 204. Wherein, the acquisition unit 201 is configured to acquire full-automatic driving data of the automatic driving vehicle in a preset time period and upload the full-automatic driving data to an associated cloud storage space; a first downloading unit 202 configured to download corresponding autopilot data from the cloud storage space according to data download configuration information in response to receiving the data download configuration information, wherein the data download configuration information includes at least one data download configuration item; a second downloading unit 203 configured to download corresponding target autopilot data from the cloud storage space according to the target data download configuration information in response to receiving the prompt information indicating the insufficient data of the autopilot data, and receiving the target data download configuration information, wherein the target data download configuration information includes at least one target data download configuration item; a storage unit 204 configured to store the autopilot sub-data and the target autopilot sub-data into a target database.
It will be appreciated that the elements described in the autopilot system test data download apparatus 200 correspond to the various steps in the method described with reference to fig. 1. Thus, the operations, features and advantages described above with respect to the method are equally applicable to the automatic driving system test data downloading apparatus 200 and the units contained therein, and are not described herein.
Referring now to fig. 3, a schematic diagram of an electronic device (e.g., an in-vehicle terminal) 300 suitable for use in implementing some embodiments of the present disclosure is shown. The electronic devices in some embodiments of the present disclosure may include, but are not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), car terminals (e.g., car navigation terminals), and the like, as well as stationary terminals such as digital TVs, desktop computers, and the like. The electronic device shown in fig. 3 is merely an example and should not impose any limitations on the functionality and scope of use of embodiments of the present disclosure.
As shown in fig. 3, the electronic device 300 may include a processing means (e.g., a central processing unit, a graphics processor, etc.) 301 that may perform various suitable actions and processes in accordance with a program stored in a Read Only Memory (ROM) 302 or a program loaded from a storage means 308 into a Random Access Memory (RAM) 303. In the RAM303, various programs and data required for the operation of the electronic apparatus 300 are also stored. The processing device 301, the ROM302, and the RAM303 are connected to each other via a bus 304. An input/output (I/O) interface 305 is also connected to bus 304.
In general, the following devices may be connected to the I/O interface 305: input devices 306 including, for example, a touch screen, touchpad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 307 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 308 including, for example, magnetic tape, hard disk, etc.; and communication means 309. The communication means 309 may allow the electronic device 300 to communicate with other devices wirelessly or by wire to exchange data. While fig. 3 shows an electronic device 300 having various means, it is to be understood that not all of the illustrated means are required to be implemented or provided. More or fewer devices may be implemented or provided instead. Each block shown in fig. 3 may represent one device or a plurality of devices as needed.
In particular, according to some embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flow chart. In such embodiments, the computer program may be downloaded and installed from a network via communications device 309, or from storage device 308, or from ROM 302. The above-described functions defined in the methods of some embodiments of the present disclosure are performed when the computer program is executed by the processing means 301.
It should be noted that, the computer readable medium described in some embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In some embodiments of the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In some embodiments of the present disclosure, however, the computer-readable signal medium may comprise a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, fiber optic cables, RF (radio frequency), and the like, or any suitable combination of the foregoing.
In some implementations, the clients, servers may communicate using any currently known or future developed network protocol, such as HTTP (HyperText Transfer Protocol ), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the internet (e.g., the internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed networks.
The computer readable medium may be contained in the electronic device; or may exist alone without being incorporated into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: collecting full automatic driving data of an automatic driving vehicle in a preset time period, and uploading the full automatic driving data to an associated cloud storage space; in response to receiving the data download configuration information, downloading corresponding autopilot data from the cloud storage space according to the data download configuration information, wherein the data download configuration information comprises at least one data download configuration item; responding to receiving prompt information representing insufficient data of the automatic driving sub-data and receiving target data downloading configuration information, and downloading corresponding target automatic driving sub-data from the cloud storage space according to the target data downloading configuration information, wherein the target data downloading configuration information comprises at least one target data downloading configuration item; and storing the automatic driving sub-data and the target automatic driving sub-data into a target database.
Computer program code for carrying out operations for some embodiments of the present disclosure may be written in one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in some embodiments of the present disclosure may be implemented by means of software, or may be implemented by means of hardware. The described units may also be provided in a processor, for example, described as: a processor includes an acquisition unit, a first download unit, a second download unit, and a storage unit. The names of these units do not limit the unit itself in some cases, and for example, the second unit may be further described as "a unit that downloads corresponding target autopilot data from the cloud storage space in response to receiving the prompt information indicating that the autopilot data is insufficient, and receiving target data download configuration information according to the target data download configuration information".
The functions described above herein may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: a Field Programmable Gate Array (FPGA), an Application Specific Integrated Circuit (ASIC), an Application Specific Standard Product (ASSP), a system on a chip (SOC), a Complex Programmable Logic Device (CPLD), and the like.
The foregoing description is only of the preferred embodiments of the present disclosure and description of the principles of the technology being employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above technical features, but encompasses other technical features formed by any combination of the above technical features or their equivalents without departing from the spirit of the invention. Such as the above-described features, are mutually substituted with (but not limited to) the features having similar functions disclosed in the embodiments of the present disclosure.
Claims (6)
1. An automatic driving system test data downloading method, comprising:
collecting full automatic driving data of an automatic driving vehicle in a preset time period, and uploading the full automatic driving data to an associated cloud storage space;
responsive to receiving data download configuration information, downloading corresponding autopilot data from the cloud storage space according to the data download configuration information, wherein the data download configuration information comprises at least one data download configuration item;
responding to receiving prompt information representing insufficient data of the automatic driving sub-data and receiving target data downloading configuration information, and downloading corresponding target automatic driving sub-data from the cloud storage space according to the target data downloading configuration information, wherein the target data downloading configuration information comprises at least one target data downloading configuration item;
storing the autopilot sub-data and the target autopilot sub-data into a target database;
wherein the storing the autopilot sub-data and the target autopilot sub-data into a target database includes:
combining the autopilot sub-data with the target autopilot sub-data into autopilot sub-data information;
splicing the automatic driving sub-data information, a preset character string and a current time stamp into standby automatic driving sub-data information;
performing first encryption processing on the standby optional driving sub-data information to generate first encrypted standby optional driving sub-data information;
splicing the backup optional driver sub-data information, the preset character string and the first encrypted backup optional driver sub-data information into second backup optional driver sub-data information;
performing second encryption processing on the second standby optional automatic driving sub-data information to generate second encrypted automatic driving sub-data information;
splicing the second encrypted automatic driving sub-data information, the preset character string and the target key into third alternate automatic driving sub-data information;
encrypting the third backup automatic driving sub-data information through a preset public key to generate target automatic driving sub-data information;
and storing the target automatic driving sub-data information into a target database.
2. The method of claim 1, wherein the at least one data download configuration item comprises: date range, time range, data category, data subcategory; and
the downloading the corresponding autopilot sub-data from the cloud storage space according to the data downloading configuration information includes:
and downloading automatic driving sub-data corresponding to the date range, the time range, the data category and the data sub-category from the cloud storage space.
3. The method of claim 2, wherein the at least one target data download configuration item comprises: target date range, target time range, target data category, target data subcategory; and
downloading the corresponding target autopilot sub-data from the cloud storage space according to the target data downloading configuration information, including:
and downloading automatic driving sub-data corresponding to the target date range, the target time range, the target data category and the target data sub-category from the cloud storage space as target automatic driving sub-data, wherein the target date range is the same as the date range, the target time range is the same as the time range, the target data category is the same as the data category, and the target data sub-category is different from the data sub-category.
4. The method of claim 1, wherein the method further comprises:
for each full automatic driving data in the cloud storage space, performing the following processing steps:
dividing the full-automatic driving data according to the time dimension to generate an automatic driving data set;
determining the downloading frequency of each automatic driving data in the automatic driving data set in a preset historical time period to obtain a downloading frequency subset;
and classifying, storing and processing the automatic driving data set according to the data labels corresponding to the full automatic driving data and the downloading frequency set.
5. An autopilot system test data download apparatus comprising:
an acquisition unit configured to acquire full-automatic driving data of an automatic driving vehicle within a preset time period, and upload the full-automatic driving data to an associated cloud storage space;
the first downloading unit is configured to respond to receiving data downloading configuration information, and download corresponding automatic driving sub-data from the cloud storage space according to the data downloading configuration information, wherein the data downloading configuration information comprises at least one data downloading configuration item;
a second downloading unit configured to download corresponding target autopilot data from the cloud storage space according to target data download configuration information in response to receiving prompt information indicating insufficient data of the autopilot data and receiving target data download configuration information, wherein the target data download configuration information comprises at least one target data download configuration item;
a storage unit configured to store the autopilot sub-data and the target autopilot sub-data into a target database; a storage unit further configured to:
combining the autopilot sub-data with the target autopilot sub-data into autopilot sub-data information;
splicing the automatic driving sub-data information, a preset character string and a current time stamp into standby automatic driving sub-data information;
performing first encryption processing on the standby optional driving sub-data information to generate first encrypted standby optional driving sub-data information;
splicing the backup optional driver sub-data information, the preset character string and the first encrypted backup optional driver sub-data information into second backup optional driver sub-data information;
performing second encryption processing on the second standby optional automatic driving sub-data information to generate second encrypted automatic driving sub-data information;
splicing the second encrypted automatic driving sub-data information, the preset character string and the target key into third alternate automatic driving sub-data information;
encrypting the third backup automatic driving sub-data information through a preset public key to generate target automatic driving sub-data information;
and storing the target automatic driving sub-data information into a target database.
6. An electronic device, comprising:
one or more processors;
a storage device having one or more programs stored thereon;
when executed by the one or more processors, causes the one or more processors to implement the method of any of claims 1-4.
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